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contributor authorJONES, RICHARD H.
date accessioned2017-06-09T15:58:43Z
date available2017-06-09T15:58:43Z
date copyright1968/06/01
date issued1968
identifier issn0027-0644
identifier otherams-57978.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4198373
description abstractEquations are derived for the estimation of the parameters in a nonlinear model for the probability of more than two mutually exclusive and exhaustive events. The estimated probabilities are between zero and one and sum to one. The equations for least squares and maximum likelihood estimation are given, and it is pointed out that the maximum likelihood estimate has the form of weighted least squares with estimated weights giving more weight to low probability events.
publisherAmerican Meteorological Society
titleA NONLINEAR MODEL FOR ESTIMATING PROBABILITIES OF k EVENTS
typeJournal Paper
journal volume96
journal issue6
journal titleMonthly Weather Review
identifier doi10.1175/1520-0493(1968)096<0383:ANMFEP>2.0.CO;2
journal fristpage383
journal lastpage384
treeMonthly Weather Review:;1968:;volume( 096 ):;issue: 006
contenttypeFulltext


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